Tae-Woon Kim
- Food Science top 2%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Plant Science
- Pathology and Forensic Medicine
- Co-authors
- Hae‐Yeong KimHae Choon ChangMin-Hee ParkJun Hwa LeeSeong Woon RohJoon Yong KimSung Wook HongMi‐Ju Kim
- Topics
- Probiotics and Fermented Foods (21 papers)Food Quality and Safety Studies (20 papers)Gut microbiota and health (5 papers)
- Partner nations
- South KoreaHungaryUnited States
In The Last Decade
Tae-Woon Kim
30 papers receiving 523 citations
Peers
Comparison fields: 5 of 71
- Food Science 444
- Molecular Biology 221
- Nutrition and Dietetics 116
- Plant Science 80
- Pathology and Forensic Medicine 69
Countries citing papers authored by Tae-Woon Kim
This map shows the geographic impact of Tae-Woon Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tae-Woon Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tae-Woon Kim more than expected).
Fields of papers citing papers by Tae-Woon Kim
This network shows the impact of papers produced by Tae-Woon Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tae-Woon Kim. The network helps show where Tae-Woon Kim may publish in the future.
Co-authorship network of co-authors of Tae-Woon Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Woon Kim. A scholar is included among the top collaborators of Tae-Woon Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tae-Woon Kim. Tae-Woon Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 20 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 30 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 33 | |
| 12 | 93 | |
| 13 | 19 | |
| 14 | 20 | |
| 15 | 176 | |
| 16 | Evaluation and Improvement of Bioassay for Residual Antibiotics in Foods | 1 |
| 17 | Characteristics of the Mayonnaise Quality by the Addition of Soybean Phytosterols | 1 |
| 18 | Identification of Lactic Acid Bacteria in Kimchi Using SDS-PAGE Profiles Whole Cell Proteins | 12 |
| 19 | Identification and Distribution of predominant tactic Acid Bacteria in Kimchi, a Korean Traditional Fermented Food | 24 |
| 20 | Rapid Identification of Lactobacillus plantarium in Kimchi Using Polymerase Chain Reaction | 6 |
About Tae-Woon Kim
Tae-Woon Kim is a scholar working on Food Science, Biotechnology and Pathology and Forensic Medicine, having authored 31 papers that have together received 551 indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (21 papers), Food Quality and Safety Studies (20 papers) and Gut microbiota and health (5 papers). The work is most often cited by research in Food Science (444 citations), Nutrition and Dietetics (116 citations) and Biotechnology (60 citations). Tae-Woon Kim has collaborated with scholars based in South Korea, Hungary and United States. Frequent co-authors include Hae‐Yeong Kim, Hae Choon Chang, Min-Hee Park, Jun Hwa Lee, Seong Woon Roh, Joon Yong Kim, Sung Wook Hong, Mi‐Ju Kim, Hye Seon Song and Se Hee Lee. Their work appears in journals such as Food Chemistry, Food Research International and International Journal of Food Microbiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.